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Diffstat (limited to 'docs/articles/compiled_models.html')
| -rw-r--r-- | docs/articles/compiled_models.html | 26 |
1 files changed, 13 insertions, 13 deletions
diff --git a/docs/articles/compiled_models.html b/docs/articles/compiled_models.html index e1572b17..153841ae 100644 --- a/docs/articles/compiled_models.html +++ b/docs/articles/compiled_models.html @@ -78,21 +78,21 @@ mb<span class="fl">.1</span> <-<span class="st"> </span><span class="kw">micr <span class="kw">print</span>(mb<span class="fl">.1</span>)</code></pre></div> <pre><code>## Unit: milliseconds ## expr min lq mean median uq -## deSolve, not compiled 6326.4518 6378.7429 6476.2219 6431.0341 6551.1069 -## Eigenvalue based 925.7797 935.9924 939.8725 946.2051 946.9189 -## deSolve, compiled 740.2821 750.0017 767.8440 759.7212 781.6249 +## deSolve, not compiled 6282.2220 6293.7637 6323.0479 6305.3053 6343.4608 +## Eigenvalue based 873.2553 886.5949 903.6178 899.9345 918.7990 +## deSolve, compiled 737.7899 738.8794 752.3343 739.9689 759.6065 ## max neval cld -## 6671.1797 3 b -## 947.6327 3 a -## 803.5287 3 a</code></pre> +## 6381.6162 3 c +## 937.6634 3 b +## 779.2441 3 a</code></pre> <div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">autoplot</span>(mb<span class="fl">.1</span>)</code></pre></div> <p><img src="compiled_models_files/figure-html/benchmark_SFO_SFO-1.png" width="672"></p> <p>We see that using the compiled model is by a factor of 8.5 faster than using the R version with the default ode solver, and it is even faster than the Eigenvalue based solution implemented in R which does not need iterative solution of the ODEs:</p> <div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">rownames</span>(smb<span class="fl">.1</span>) <-<span class="st"> </span>smb<span class="fl">.1</span>$expr smb<span class="fl">.1</span>[<span class="st">"median"</span>]/smb<span class="fl">.1</span>[<span class="st">"deSolve, compiled"</span>, <span class="st">"median"</span>]</code></pre></div> <pre><code>## median -## deSolve, not compiled 8.464993 -## Eigenvalue based 1.245464 +## deSolve, not compiled 8.521041 +## Eigenvalue based 1.216179 ## deSolve, compiled 1.000000</code></pre> </div> <div id="model-that-can-not-be-solved-with-eigenvalues" class="section level2"> @@ -114,18 +114,18 @@ smb<span class="fl">.1</span>[<span class="st">"median"</span>]/smb<span class=" <span class="kw">print</span>(mb<span class="fl">.2</span>)</code></pre></div> <pre><code>## Unit: seconds ## expr min lq mean median uq -## deSolve, not compiled 13.619556 13.761382 13.825679 13.903207 13.928741 -## deSolve, compiled 1.316871 1.322577 1.358847 1.328283 1.379834 +## deSolve, not compiled 13.644880 13.648332 13.835874 13.651784 13.931372 +## deSolve, compiled 1.422381 1.448574 1.495091 1.474767 1.531446 ## max neval cld -## 13.954275 3 b -## 1.431386 3 a</code></pre> +## 14.210959 3 b +## 1.588125 3 a</code></pre> <div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">smb<span class="fl">.2</span>[<span class="st">"median"</span>]/smb<span class="fl">.2</span>[<span class="st">"deSolve, compiled"</span>, <span class="st">"median"</span>]</code></pre></div> <pre><code>## median ## 1 NA ## 2 NA</code></pre> <div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">autoplot</span>(mb<span class="fl">.2</span>)</code></pre></div> <p><img src="compiled_models_files/figure-html/benchmark_FOMC_SFO-1.png" width="672"></p> -<p>Here we get a performance benefit of a factor of 10.5 using the version of the differential equation model compiled from C code!</p> +<p>Here we get a performance benefit of a factor of 9.3 using the version of the differential equation model compiled from C code!</p> <p>This vignette was built with mkin 0.9.44.9000 on</p> <pre><code>## R version 3.3.2 (2016-10-31) ## Platform: x86_64-pc-linux-gnu (64-bit) |